System and method for real-time fitness tracking and scheduling

Abstract

A computer system configured to implement a method for real-time fitness tracking and scheduling is described herein. The computer system receives health data, a first health goal for completion during a first time period, and a second health goal for completion during a second time period for a user. A health profile is generated that includes the health data, the first health goal, and the second health goal. The health data is implemented in if-then scenarios to determine a first wellness action for the user to complete during a first time period to achieve the first health goal and a second wellness action for the user to complete during a second time period to achieve the second health goal. A health and wellness program is created for the user based on the first wellness action and the second wellness action.

What is claimed is: 
     
         1 . A method executed by a health engine of a computing device for real-time fitness tracking and scheduling, the method comprising:
 receiving an intake of health data of a user, the intake of health data including historical user data;   determining a fitness plan based on one or more assessment elements collected;   measuring progress of the fitness plan over time directed to on one or more health parameters, and outputting educational data based on scientific research; and   mitigating risk based on the measured progress of the one or more assessments.   
     
     
         2 . The method of  claim 1 , wherein the one or more assessment elements is aesthetic data. 
     
     
         3 . The method of  claim 2 , wherein the aesthetic data is selected from the group consisting of: body type, metabolism type, and Q-angle. 
     
     
         4 . The method of  claim 1 , wherein the one or more assessment elements is basal metabolic rate data. 
     
     
         5 . The method of  claim 4 , wherein the basal metabolic rate data is selected from the group consisting of: calories per day, calories burned, and calories eaten. 
     
     
         6 . The method of  claim 1 , wherein the one or more assessment elements is functional movement analysis data. 
     
     
         7 . The method of  claim 6 , wherein the functional movement analysis data includes one or more of a prone shoulder assessment, quadruped, overhead squat, and physical properties. 
     
     
         8 . The method of  claim 1 , wherein the one or more assessment elements based on functional movement and physical therapy. 
     
     
         9 . The method of  claim 1 , wherein the one or more assessment elements may be implemented by a user, artificial intelligence, a third party, or an administrator. 
     
     
         10 . The method of  claim 1 , wherein the one or more health parameters is received from one or more wireless health devices tracking one or more biometric parameters of the user. 
     
     
         11 . The method of  claim 1 , further comprising:
 based on a frequency of an activity, an intensity of the activity, a time performing the activity, and a type of activity, implementing an algorithm using an equation: Intensity+Time=Volume, to structure a workout routine for the fitness plan.   
     
     
         12 . The method of  claim 1 , wherein the measured progress is determined by a Romberg's balance test or a timed up-and-go test. 
     
     
         13 . The method of  claim 1 , further comprising:
 wearing, by a user, a wearable device to at least detect heart rate data; and   transmitting the detected heart rate data to a third party based one or more predetermined factors of age or exercise frequency.   
     
     
         14 . A computer system comprising one or more processors, one or more memories, and one or more computer-readable hardware storage devices, the one or more computer-readable hardware storage devices containing program code executable by the one or more processors via the one or more memories to implement a method for real-time fitness tracking and scheduling, the method comprising:
 receiving an intake of health data of a user, the intake of health data including historical user data;   determining a fitness goal based on one or more assessment elements collected;   measuring progress of the fitness goal over time directed to on one or more health parameters, and outputting educational data based on scientific research; and   mitigating risk based on the measured progress of the one or more assessments.   
     
     
         15 . The method of  claim 14 , wherein the one or more assessment elements is aesthetic data selected from the group consisting of: body type, metabolism type, and Q-angle. 
     
     
         16 . The method of  claim 14 , wherein the one or more assessment elements is basal metabolic rate data selected from the group consisting of: calories per day, calories burned, and calories eaten. 
     
     
         17 . The method of  claim 14 , wherein the one or more assessment elements is functional movement analysis data including one or more of a prone shoulder assessment, quadruped, overhead squat, and physical properties. 
     
     
         18 . The method of  claim 14 , wherein the one or more health parameters is received from one or more wireless health devices tracking one or more biometric parameters of the user. 
     
     
         19 . The method of  claim 14 , further comprising:
 based on a frequency of an activity, an intensity of the activity, a time performing the activity, and a type of activity, implementing an algorithm using an equation: Intensity×Time=Volume, to structure a workout routine for the fitness goal.   
     
     
         20 . The method of  claim 14 , wherein the measured progress is determined by a Romberg's balance test or a timed up-and-go test.